polca_cheating

1,276 responses from 319 respondents to 4 items.

About this table

DescriptionResponses from undergrads to questions about cheating behaviors
ReferenceDayton, C. Mitchell. 1998. Latent Class Scaling Analysis. Thousand Oaks, CA: SAGE Publications.
DOIhttps://doi.org/10.4135/9781412984720.n6
LicenceGPL-3.0
Source datahttps://cran.r-project.org/web/packages/poLCA/index.html

Size and shape

Responses1,276
Respondents319
Items4
Response categories2
Responses per respondent4
Responses per item319
Density1
LongitudinalFALSE

Classification

age rangeAdult (18+)
sampleEducational
construct typeBehavioral, Cognitive/educational
measurement toolSurvey/questionnaire
item formatLikert Scale/selected response
primary language(s)eng
construct nameGPA and chronic cheating

Item text

This table has item text in the IRW: the wording administered to respondents, not just the response codes.

InstrumentResponses from undergrads to questions about cheating behaviors
Mean words per item14.500
Mean characters per item69.250
Mean characters per response2.500
Flesch-Kincaid grade level46.333

Columns

iditemresp

Get the data

Download CSVno account neededBrowse on Redivisexplore and queryCroissant metadataHugging Face, Kaggle, OpenML

Or load it directly in R or Python:

# R
install.packages("remotes")
remotes::install_github("itemresponsewarehouse/Rpkg")
library(irw)
df <- irw_fetch("polca_cheating")
# Python
pip install irw

import irw
df = irw.fetch("polca_cheating")

Version and provenance

IRW versionv393
Redivis datasetitem_response_warehouse v53.0
Redivis dataset DOI10.57761/4g08-xt41
Manifest pin for this IRW versionv53.0
Metadata sourceirw_meta v23.0